Frontline Stock Forward View - 8 Period Moving Average

FRO Stock  USD 38.15  -1.36  -3.44%   
This 8 Period Moving Average projection for Frontline is fitted to the equity's recent daily closes. Low error metrics relative to the price level indicate the model fits recent trading behavior well. Older observations carry less weight in the current projection as the price series extends. High SAE relative to the price level signals cumulative forecast drift over the evaluation period. The 8 Period Moving Average model projects Frontline at 37.77 for the next trading day, below the most recent closing price. This forecast is one analytical input among many and should be assessed in the context of broader analysis.
The eight-period moving average forecast for Frontline 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 12th of May 2026

Over a 90-day horizon, the 8 Period Moving Average model forecasts Frontline at 37.77 for the next trading day, with a mean absolute deviation of 1.44 , mean absolute percentage error of 0.04 , and sum of absolute errors of 76.48 .
This represents a tight forecast with good short-term tracking of Frontline's price movement. This output is intended for short-term analytical reference.

Stock Forecast Pattern

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Forecasted Value

The projected range for Frontline reflects the model's ability to define credible downside and upside scenarios for the next trading day. Downside is estimated near 34.65 and upside near 40.88. The wide range indicates elevated uncertainty in short-term projections.
Market Value
38.15
37.77
Expected Value
40.88

Model Predictive Factors

The table below summarizes the 8 Period Moving Average model's error metrics for Frontline 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 Criteria104.6672
BiasArithmetic mean of the errors -0.327
MADMean absolute deviation1.4429
MAPEMean absolute percentage error0.0412
SAESum of the absolute errors76.475
The eight-period window effectively dampens daily peaks and troughs in Frontline 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 Frontline

Fibonacci retracement levels applied to Frontline Stock price swings identify potential support and resistance zones. Extreme price moves in Frontline occur more frequently than standard risk models assume. Support and resistance levels derived from Frontline's historical data identify zones where buying or selling pressure has stalled moves. A volume spike without a corresponding price move signals accumulation or distribution ahead of a directional breakout.

Frontline Related Equities

These related stocks within the Energy space give benchmarks for judging Frontline's results, margins, and growth trend. Checking cash flow across this peer set helps gauge Frontline's relative financial strength. Firms that trade at big discounts to peers on core metrics may be worth more research. This peer set gives the context needed for a well-rounded view of Frontline.
 Risk & Return  Correlation

Frontline Market Strength Events

Rate of Change and Momentum readings for Frontline measure the velocity of recent price moves rather than direction alone. These indicators add context to how recent sessions in Frontline have behaved. These indicators are most informative when viewed alongside Frontline's volume profile and volatility measures. The Price Action Indicator distills each session's open-high-low-close into a single directional score for Frontline.

Frontline Risk Indicators

Standard deviation and variance for Frontline measure total price dispersion, while semi-deviation isolates only the downside moves. Higher variance relative to sector peers signals that Frontline's price path has been less predictable over the measured period. Analyzing Frontline's risk indicators helps explain how recent moves compare with its broader trading range. A narrow gap between mean deviation and standard deviation indicates that Frontline's return distribution is relatively symmetric.
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.

Frontline Short Properties

Short-interest data for Frontline reveals whether bearish conviction in the market is gaining traction. When applied, these measures clarify when hedging or timing discipline may matter more than conviction alone.
Common Stock Shares Outstanding222.62 million
Cash And Short Term Investments253.41 million

More Resources for Frontline Stock Analysis

Reviewing Frontline typically starts with core financial statements and performance trends. Ratio analysis outlines performance across profit, efficiency, and growth.