RLJ Lodging Stock Forward View - 8 Period Moving Average

Key Indicators . 8 Period Moving Average . Stocks . USA . 
Stock . RLJ Lodging Trust
RLJ Stock  USD 8.80  -0.15  -1.68%   
RLJ Lodging's 8 Period Moving Average forecast is computed from observed closing prices over the selected horizon. The accuracy statistics below distinguish a well-fitted model from one that is smoothing over meaningful price movement. The fit is assessed against recent observations, so the output reflects the latest available data. When MAPE exceeds 10%, the model's short-term predictive value is significantly reduced. The 8 Period Moving Average model projects RLJ Lodging at 8.70 for the next trading day, below the most recent closing price. The 8 Period Moving Average output reflects statistical model results and is provided for reference purposes.
The eight-period moving average forecast for RLJ Lodging replaces each daily closing price with the mean of that value and the eight preceding observations. This wider window produces a smoother series that filters out short-term volatility.

8 Period Moving Average Price Forecast For the 13th of May 2026

Over a 90-day horizon, the 8 Period Moving Average model forecasts RLJ Lodging at 8.70 for the next trading day, with a mean absolute deviation of 0.23 , mean absolute percentage error of 0.03 , and sum of absolute errors of 12.03 .
This represents a tight forecast with good short-term tracking of RLJ Lodging's price movement. This output is intended for short-term analytical reference.

Stock Forecast Pattern

Backtest RLJ Lodging  RLJ Lodging Price Prediction  Research Analysis  

Forecasted Value

The next-day forecast range for RLJ Lodging defines statistically derived downside and upside boundaries based on model performance. Downside is estimated near 6.73 and upside near 10.67. The wide range indicates elevated uncertainty in short-term projections.
Market Value
8.80
6.73
Downside
8.70
Expected Value
10.67
Upside
Target Odds

Model Predictive Factors

The table below summarizes the 8 Period Moving Average model's error metrics for RLJ Lodging stock. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.
AICAkaike Information Criteria100.849
BiasArithmetic mean of the errors -0.0585
MADMean absolute deviation0.2271
MAPEMean absolute percentage error0.0284
SAESum of the absolute errors12.0337
The eight-period window effectively dampens daily peaks and troughs in RLJ Lodging Trust price data, making the underlying trend more visible. However, the model can only be used reliably for one or two periods ahead. A flat forecast line in a trending market indicates the smoothing window is too wide for the current price dynamics.

Other Forecasting Options for RLJ Lodging

Volume-weighted price analysis for RLJ Lodging Stock gives heavier weight to price levels where trading activity was highest. Crossovers in the MACD line and signal line identify shifts in RLJ Lodging momentum before they appear in raw price. Comparing RLJ Lodging's realized volatility to implied volatility reveals whether the options market expects larger or smaller moves. Readings above 80 or below 20 highlight potential reversal zones in RLJ Lodging Stock price action.
Naive Prediction
Simple Exponential Smoothing
Double Exponential Smoothing
Triple Exponential Smoothing
Simple Regression
Polynomial Regression
Simple Moving Average
4 Period Moving Average
8 Period Moving Average
20 Period Moving Average

RLJ Lodging Related Equities

Investors studying RLJ Lodging often look at related stocks within the Real Estate space to gauge pricing and results. Checking cash flow across this peer set helps gauge RLJ Lodging's relative financial strength. Peer pricing is more meaningful when the firms compared share similar business models and end markets. This peer set gives the context needed for a well-rounded view of RLJ Lodging.
 Risk & Return  Correlation

RLJ Lodging Market Strength Events

For investors tracking RLJ Lodging Trust, market strength indicators offer quantitative evaluation of stock behavior. When Rate of Change diverges from price direction, it often signals weakening momentum before a visible reversal in RLJ Lodging. These metrics are particularly useful when RLJ Lodging stock shows divergence from broader market trends. These metrics provide additional context for comparing intraday conviction with broader price movement in RLJ Lodging.
Rate Of Daily Change0.98
Day Median Price8.8
Day Typical Price8.8
Price Action Indicator-0.07
Period Momentum Indicator-0.15
Relative Strength Index61.27

RLJ Lodging Risk Indicators

Analyzing RLJ Lodging's basic risk indicators provides a structured view of the risk-return trade-off for rlj lodging stock. Expected shortfall estimates the average loss in the worst-case tail scenarios, going beyond what standard deviation alone captures for RLJ Lodging. Semi-deviation focuses exclusively on returns below the mean, making it a more conservative risk gauge for RLJ Lodging than full standard deviation. The risk-return trade-off for rlj lodging stock becomes clearer when downside and total variance are viewed together.
Mean Deviation1.52
Semi Deviation1.75
Standard Deviation2.01
Variance4.03
Downside Variance3.8
Semi Variance3.06
Expected Short fall-1.56
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

RLJ Lodging Short Properties

Short sentiment tied to RLJ Lodging Trust matters because heavier bearish pressure can change how quickly future price expectations become unstable. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
Common Stock Shares Outstanding149.66 million
Cash And Short Term Investments410.16 million
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