Jack Henry & Associates Inc. - SMA - MarketXLS
Data
SMA
Live176.58
Returns the Simple Moving Average (SMA) based on historical average crossovers.
How calculated | Sum of prices for a given number of days divided by the number of days |
Example usage | =SimpleMovingAverage("MSFT") - Returns SimpleMovingAverage value for 30 day period =SimpleMovingAverage("MSFT",20) - Returns SimpleMovingAverage value for 20 day period =SimpleMovingAverage("MSFT",20,"9/1/2022") - Returns SimpleMovingAverage value for 20 day period with start date 1 September 2022 |
Notes | It is a tool to quickly identify if a security is in an uptrend or downtrend |
Assets | Stocks, ETFs, Mutual Funds, Currencies, Cryptocurrencies |
| Stock | SMA |
|---|---|
JKHY | 176.58 |
FISV | 115.61 |
IBM | 211.40 |
FIS | 87.49 |
AVT | 54.28 |
GBCI | 55.97 |
ACIW | 55.07 |
BOH | 77.16 |
FICO | 2,245.33 |
NCR | 26.58 |
Jack Henry & Associates Inc.
JKHY 
NGS
Sector: Industrials
Industry: Business Services
172.50
USD
1.38
(0.81%)
Previous close: 171.12 Open: 171.32 Bid: 170.29 Ask: 173.5
52 week range
151.93 189.63
Mkt Cap: 12,522 M Avg Vol (90 Days): 502,912
Last updated: Friday 22nd November 2024
Call: 1-877-778-8358 
Welcome! I'm Ankur, the founder and CEO of MarketXLS. With more than ten years of experience, I have assisted over 2,500 customers in developing personalized investment research strategies and monitoring systems using Excel.
I invite you to book a demo with me or my team to save time, enhance your investment research, and streamline your workflows.
I invite you to book a demo with me or my team to save time, enhance your investment research, and streamline your workflows.
Implement “your own” investment strategies in Excel with thousands of MarketXLS functions and templates.
MarketXLS is a complete Excel stock solution
I have used lots of stock and option information services. This is the only one which gives me what I need inside Excel
MarketXLS is a data junkie’s dream. It gives me the flexibility to mine for hidden treasures.
I like to access historical closing prices on a particular date. That makes tracking performance easy.