Asbury Automotive Group Inc - Money Flow Index - MarketXLS
Data
Money Flow Index
Live63.56
Returns the Money Flow Index, identifying overbought or oversold assets using price and volume data.
How calculated | 100-(100/(1+moneyflow ratio)) |
Example usage | =MoneyFlowIndex("MSFT") - Returns MoneyFlowIndex value for 14 day period =MoneyFlowIndex("MSFT",20) - Returns MoneyFlowIndex value for 20 day period =MoneyFlowIndex("MSFT",20,"9/1/2022") - Returns MoneyFlowIndex value for 20 day period with start date 1 September 2022 |
Notes | An MFI reading above 80 is considered overbought and an MFI reading below 20 is considered oversold |
Assets | Stocks, ETFs, Mutual Funds, Currencies, Cryptocurrencies |
| Stock | Money Flow Index |
|---|---|
ABG | 63.56 |
PAG | 66.50 |
SAH | 84.45 |
AN | 58.38 |
GPI | 51.51 |
KMX | 57.49 |
LAD | 82.15 |
CRMT | 77.44 |
RUSHA | 74.93 |
CPRT | 75.98 |
Asbury Automotive Group Inc
ABG 
NYE
Sector: Consumer Cyclical
Industry: Auto & Truck Dealerships
245.77
USD
1.91
(0.78%)
Previous close: 243.86 Open: 241.61 Bid: Ask:
52 week range
195.09 277.13
Mkt Cap: 4,942 M Avg Vol (90 Days): 946,493
Last updated: Sunday 22nd December 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.