Gold Price Dataset (2016-2026)

By shrijeetverma13 · February 18, 2026

Data source:

Thursday shows the most favorable average daily return for trading at 0.0753%, based on analysis of 505 trading days.

The largest single-day gain was +4.90% on June 24, 2016, when the stock closed at $126.00. The largest single-day loss was -6.43% on October 21, 2025, with a closing price of $377.24.

The analysis identified 8 golden cross events where the 50-day moving average (MA 50) crossed above the 200-day moving average (MA 200), which are classic bullish signals in technical analysis. These crossover points indicate potential upward momentum in the stock price.

The analysis identified 7 death cross events where the 50-day moving average (MA 50) crossed below the 200-day moving average (MA 200), signaling potential bearish trends in the stock price.

Based on the analysis of historical gold price data, the visualization shows the average daily return performance across all 12 months. The bar chart displays each month's performance with color coding to highlight positive (green) and negative (red) returns, making it easy to identify seasonal patterns in gold prices.

Gold prices have shown a remarkable upward trend from 2016 to 2026, starting at $106.95 and reaching $458.00 by the end of the period. This represents an impressive 328% total increase over the decade. The trend line visualization clearly shows relatively stable prices from 2016-2019, followed by accelerating growth from 2020 onwards, with the most dramatic increases occurring in 2025-2026.

Gold performance varies significantly across quarters, with Q1 emerging as the best performing quarter for returns. The analysis reveals distinct patterns in how gold performs throughout the year, with some quarters showing stronger returns and different volatility levels than others.

The analysis identified periods of elevated investment risk by examining the 20-day volatility metric. The highest volatility reached 2.4874, which is significantly above the average of 0.8716, indicating periods of substantial price fluctuation and increased investment risk in gold prices.

There is a moderate to strong positive relationship between trading volume and daily price movements. The analysis shows a correlation of 0.59 between volume and absolute daily returns, meaning higher trading volumes tend to accompany larger price swings in either direction.

I've calculated the year-over-year percentage change in gold closing prices for each year in your dataset. The analysis shows how gold prices fluctuated from one year to the next, with both positive and negative changes captured.

The average daily trading range (High minus Low) across all data is $1.54. The analysis shows how this metric has varied year by year, with both a bar chart and trend line displaying the changes over time.

Holding gold throughout the entire 10-year period (from January 2016 to January 2026) would have generated a cumulative return of 328.24%. This means an initial $100 investment would have grown to $428.24.

The analysis identified critical support and resistance levels across the dataset. The absolute support level (lowest price) is $106.26, while the absolute resistance level (highest price) is $458.75, representing a wide trading range of over $352.

The current price of $458.00 is above both the 50-day moving average ($400.15) and the 200-day moving average ($342.78), indicating strong bullish momentum. The price is trading 14.46% above the MA 50 and 33.61% above the MA 200, which are classic signs of an uptrend.

The analysis reveals virtually no relationship between Volatility 20 levels and subsequent Daily Return outcomes. With a correlation coefficient of just 0.0039, volatility doesn't predict whether returns will be positive or negative.

The closing price stays above the 20-day moving average (MA 20) about 58% of the time - that's 1,447 out of 2,492 trading days. When the price is above MA 20, the average daily return is 0.285%, which is significantly better than when it's below MA 20 (where returns average -0.240%). Interestingly, for next-day predictions, the pattern reverses slightly: after being above MA 20, the next day's average return is 0.053%, while after being below MA 20, it's 0.075%.