GOLDMAN SACHS Mutual Fund Forward View

GYIRX Fund

USD 9.08 0.01 0.11%

This Naive Prediction projection for GOLDMAN SACHS 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 Naive Prediction model projects GOLDMAN SACHS at 9.05 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.

A naive forecasting model for GOLDMAN SACHS is a special case of the moving average where the smoothing period is one. The forecast for Goldman Sachs High on a given trading day is simply the observed closing price of the previous period. Because it uses only a single lag, this model is limited to one-period-ahead forecasts.

Naive Prediction Price Forecast For the 13th of May 2026

Over a 90-day horizon, the Naive Prediction model forecasts GOLDMAN SACHS at 9.05 for the next trading day, with a mean absolute deviation of 0.03 , mean absolute percentage error of 0.003 , and sum of absolute errors of 1.63 .

This represents a very tight forecast — the model closely tracks GOLDMAN SACHS's recent price behavior. This output is intended for short-term analytical reference.

Mutual Fund Forecast Pattern

Backtest GOLDMAN SACHS

GOLDMAN SACHS Price Prediction

Research Analysis

Forecasted Value

The projected range for GOLDMAN SACHS reflects the model's ability to define credible downside and upside scenarios for the next trading day. The model places downside around 8.80 and upside around 9.30 for the next session. The moderate spread reflects defined uncertainty around the forecast.

Market Value

9.08

8.80

Downside

9.05

Expected Value

9.30

Upside

Target Odds

Above Odds

Below Odds

Model Predictive Factors

The table below summarizes the Naive Prediction model's error metrics for GOLDMAN SACHS mutual fund. 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.

AIC	Akaike Information Criteria	111.3261
Bias	Arithmetic mean of the errors	None
MAD	Mean absolute deviation	0.0268
MAPE	Mean absolute percentage error	0.003
SAE	Sum of the absolute errors	1.6334

The naive model produces a tight forecast range but offers no smoothing of noise or trend detection. It serves primarily as a baseline benchmark — if a more complex model cannot outperform the naive forecast, it may indicate that GOLDMAN SACHS price movements are largely random over the selected horizon.

Other Forecasting Options for GOLDMAN SACHS

Fibonacci retracement levels applied to GOLDMAN SACHS Mutual Fund price swings identify potential support and resistance zones. Extreme price moves in GOLDMAN SACHS occur more frequently than standard risk models assume. Support and resistance levels derived from GOLDMAN SACHS'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.

GOLDMAN SACHS Comparable Funds

These peer funds are related to GOLDMAN SACHS and help frame its category context. Looking across similar funds helps show whether GOLDMAN SACHS's pricing and risk profile are typical for the category. Category-relative analysis helps separate fund-specific behavior from broader market moves affecting the whole group. Reviewing these related funds can sharpen the broader view of GOLDMAN SACHS's positioning.

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Risk & Return

Correlation

GOLDMAN SACHS Market Strength Events

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

	Rate Of Daily Change	1.0
	Day Median Price	9.08
	Day Typical Price	9.08
	Price Action Indicator	0.005
	Period Momentum Indicator	0.01
	Relative Strength Index	54.67

GOLDMAN SACHS Risk Indicators

Standard deviation and variance for GOLDMAN SACHS measure total price dispersion, while semi-deviation isolates only the downside moves. Higher variance relative to sector peers signals that GOLDMAN SACHS's price path has been less predictable over the measured period. Analyzing GOLDMAN SACHS'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 GOLDMAN SACHS's return distribution is relatively symmetric.

	Mean Deviation	0.159
	Semi Deviation	0.2303
	Standard Deviation	0.2481
	Variance	0.0615
	Downside Variance	0.1239
	Semi Variance	0.053
	Expected Short fall	-0.20

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.

	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