Moving Averages

Moving Averages Widget

Display live moving average signals on your site. Vunelix's free moving averages widget tracks SMA and EMA across 6 periods — 5, 10, 20, 50, 100, and 200. Each average shows its current value and a buy or sell signal based on price position relative to the average. A summary gauge aggregates all signals into one reading. Built for trend analysis — embed it on trading sites, analysis blogs, or educational platforms.

HTML
How to get started

Sign up for free, add your website domain, and paste the embed code above into your HTML. Your widget will activate automatically.

AAPL

Search and pick any stock, crypto, or forex pair to display.

Time interval for technical calculations (e.g. 1 Day analyzes daily data, 1 Hour analyzes hourly data).

SMA and EMA — All Periods

Simple Moving Average smooths price data equally across the period. Exponential Moving Average weights recent prices more heavily, reacting faster to new data. The widget calculates both for 5, 10, 20, 50, 100, and 200 periods. When price sits above an average, the signal reads "Buy." When below, "Sell." Traders use the 50/200 crossover (golden cross and death cross) as major trend signals — this widget shows both averages live so visitors can track the relationship in real time.

Trend Confirmation

Moving averages are the most widely used trend indicators in financial markets. The 200-period SMA defines the long-term trend — institutional traders use it as a major support and resistance level. The 50-period EMA captures the intermediate trend. Short-term averages (5, 10, 20) show immediate momentum. The widget's summary gauge counts how many averages signal "buy" vs "sell" — a reading of 10 buy out of 12 total indicates strong upward momentum.

Modular Technical Setup

Pair the moving averages widget with the oscillators widget for a complete technical view split into two focused panels. Trading education sites use the moving averages widget to teach trend analysis concepts with live market data — students see exactly how SMA and EMA respond to price changes across different timeframes.