How to Read CS2 Skin Price Charts

A price chart packs a lot of information into a small space. At a glance it shows you whether a skin has been rising or falling, how volatile it is, how actively it trades, and where the model thinks it's heading. Knowing how to read each element makes the chart far more useful than just a pretty line.

The Price Line

The blue line on the chart is the median sale price for each day — the middle value from all sales that occurred on that date. Median is used rather than average because it's more resistant to outliers. A single panic-sale at a distressed price or an enthusiast paying a premium won't distort the figure the way it would an average.

The chart shows the last 90 days of history by default, or all available data if the skin has been trading for less than 90 days. This window gives enough context to see recent trends without being obscured by price levels from years ago.

Volume Bars

The grey bars at the bottom of the chart show daily trading volume — how many units of the skin were sold each day. Volume is a crucial context layer for the price line. A price spike accompanied by high volume is more meaningful than one that happened on a day when barely anyone was trading.

Sustained high volume with a rising price suggests genuine demand. Rising prices on declining volume can indicate the move is running out of buyers. A sudden volume spike after a quiet period often signals a news event — a patch, a case release, or a viral moment — worth investigating.

The Forecast Line

The dashed coloured line extending to the right of the price history is the model's forecast for the selected horizon (7, 30, 60, or 90 days). Green indicates the model expects a price increase; red indicates an expected decline. The shaded area around the line is the confidence band — the model's estimate of the range within which the price is likely to land.

A wider confidence band means more uncertainty. Very volatile skins or those with sparse trading history will show wider bands. A narrower band doesn't guarantee accuracy, but it does suggest the model has more consistent data to work with.

Past Prediction Dots

The amber dots on the chart show where the model predicted the price would be on dates that have now passed. Each dot represents a completed forecast — you can compare the dot's position against the blue price line at the same date to see how accurate the call was.

Dots that sit close to the blue line indicate accurate predictions. Dots well above or below the actual price show where the model was wrong. Over time, as more predictions complete, this gives you an honest picture of the model's track record for that specific skin.

Switching Horizons

The 7d, 30d, 60d, and 90d buttons in the top right switch the forecast horizon. Each horizon has its own model, trained independently. The 7-day model focuses on short-term momentum and recent volume signals. The 90-day model weights longer-term trends more heavily.

Our backtesting shows that accuracy improves with longer horizons — the 90-day model has historically been directionally correct about 73% of the time, compared to 57% for the 7-day model. Short-term price movements are noisier and harder to predict. If you're making a longer-term decision about a skin, the 60 or 90-day view is generally more reliable.

What the Chart Can't Tell You

Charts reflect past data and model estimates — they can't account for events that haven't happened yet. A surprise game update, an unexpected case release, or a major esports controversy can move prices in ways no model anticipates. The chart is a useful decision-support tool, not a guarantee.

Very low-volume skins (those with only a handful of sales per month) will show choppy, unreliable charts. The median price from two or three sales can jump around significantly. For sparse skins, treat the price history and forecasts as rough indicators rather than precise signals.