What model produces the prices?

A geometric random walk. Each day's close equals the prior close multiplied by (1 + drift + volatility times a random shock). Open, high and low are derived around the close, so the series behaves like a real price path with proportional moves rather than fixed steps.

What does the volatility setting do?

Volatility scales the size of each day's random move as a percentage. A low value gives a calm, slowly drifting line; a high value produces sharp swings. It maps directly to the magnitude of the daily shock in the random walk.

Is the ticker symbol real?

No. The ticker is a random three- or four-letter symbol and any resemblance to a real listed company is coincidental. The whole series is fictional placeholder data for demos and prototypes.

Can I export OHLC for candlestick charts?

Yes. Each row includes date, open, high, low, close and volume, which is the standard shape for candlestick and OHLC charts. Export as CSV with a header or as a JSON array of objects.

Does anything get sent to a server?

No. The series is generated locally in your browser with a random number generator and never uploaded, so you can prototype offline and keep your data private.

Fake Stock Price Generator

Believable price data for trading UIs

Charting components need data that moves like a real market. This fake stock price generator builds a fictional ticker and a daily open-high-low-close series using a geometric random walk, so candlesticks rise and fall in realistic percentage steps instead of obvious straight lines.

How it works

The generator starts from your chosen price and walks it forward one trading day at a time. Each new close is the previous close scaled by a daily return drawn from your drift and volatility:

shock      = random in [-1, 1]
dailyReturn = drift + volatility * shock
close[t]   = close[t-1] * (1 + dailyReturn)

Open is set near the previous close, while high and low are spread around the open and close so each candle has a believable body and wicks. Volume is randomized within a plausible range. Export the full OHLC series as CSV or JSON.

Tips and examples

Keep volatility low (around 1 to 2 percent) for a calm large-cap feel, or raise it for a volatile small-cap look.
Add a small positive drift to show an uptrend or a negative drift for a decline.
Use the JSON export to feed candlestick libraries directly; use CSV for spreadsheets.