Technical Indicators API for SMA & RSI Data

Use QVeris to find technical indicator tools and retrieve calculated series for a chart, market review or research notebook. Start with a daily simple moving average, then choose other available indicators when the task calls for them. Open the SMA tool to inspect the ticker, window and price inputs.

The first useful result is a dated indicator value with its calculation settings. A number labeled “SMA” is incomplete unless the reader knows whether it uses 20 or 50 observations, daily or intraday bars, and adjusted or unadjusted prices. Keep those choices in both the request and the output.

For momentum context, explore the RSI capability. Use a separate inspected request for that operation rather than changing only the label on a moving-average result.

The Massive SMA documentation describes the window, price series and split-adjustment options. In the inspected QVeris route, the exposed enums currently specify daily bars and close prices. Use the route’s actual contract instead of assuming every upstream option is available.

Use the following parameter object with the selected SMA capability. It requests five recent indicator records using a 20-observation daily window. These are example inputs; the page does not present simulated values as measured output.

{
  "stockTicker": "AAPL",
  "timespan": "day",
  "window": 20,
  "series_type": "close",
  "adjusted": true,
  "order": "desc",
  "limit": 5
}

Display the returned dates and values alongside the window and adjustment settings. If the latest returned indicator is older than expected, check source access and the market calendar before calling it current. Review the underlying historical price workflow when you need to inspect the input series.

A simple moving average is the arithmetic mean of the selected prices over its window. A 20-observation calculation needs enough eligible input observations, which can cover more than twenty calendar days. Warm-up requirements and missing bars can affect which indicator dates are returned.

RSI summarizes price-change behavior with a different calculation. Its window, smoothing convention and initial values matter when reproducing results. If two tools disagree, first align their inputs and definitions before concluding that either source is wrong.

For a chart overlay, match the indicator date to the corresponding bar date and confirm the timezone convention. Treat indicator values as descriptive calculations. A moving-average crossover or RSI threshold does not by itself establish a profitable trading decision.

Store calculation settings with the result so a chart refresh cannot silently switch from adjusted to raw data. When changing the window, label the new series clearly rather than overwriting a previous series with the same name. Keep missing indicator values distinct from zeros.

Use the Python integration workflow for scheduled updates and the JSON data model for application storage. Start with one symbol and a small record count, then check QVeris call pricing before expanding your scan.

Open the prefilled QVeris task to retrieve the five latest available 20-day SMA observations for AAPL. The result will include dates, values, window, source and freshness, followed by a short plain-language explanation without trading advice.