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Artemis Alpha Trust (LSE:ATS) 50-Day SMA : £3.55 (As of Jun. 05, 2024)


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What is Artemis Alpha Trust 50-Day SMA?

Moving averages are one of the core indicators in technical analysis. A Simple Moving Average (SMA) is simply the arithmetic average of stock price over a period. It is calculated by adding a selected range of prices, usually closing prices, and then dividing that figure by the number of time periods in that range.

The 50-Day SMA calculates the average price over 50 days. And the 20-Day SMA and 200-Day SMA calculates the average price over 20 days and 200 days separately.

As of today (2024-06-05), Artemis Alpha Trust's 50-Day SMA is £3.55. It's 20-Day SMA is £3.66 and 200-Day SMA is £3.20.


Competitive Comparison of Artemis Alpha Trust's 50-Day SMA

For the Asset Management subindustry, Artemis Alpha Trust's 50-Day SMA, along with its competitors' market caps and 50-Day SMA data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Artemis Alpha Trust's 50-Day SMA Distribution in the Asset Management Industry

For the Asset Management industry and Financial Services sector, Artemis Alpha Trust's 50-Day SMA distribution charts can be found below:

* The bar in red indicates where Artemis Alpha Trust's 50-Day SMA falls into.



Artemis Alpha Trust  (LSE:ATS) 50-Day SMA Calculation

The formula for calculating SMA is:

SMA=( P1 + P2 + ... + Pn ) / n

where:
Pn is the price of the stock at period n.
n is the total number of periods.

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


Artemis Alpha Trust  (LSE:ATS) 50-Day SMA Explanation

Simple Moving Average (SMA) is the arithmetic average of stock price over a period. The 20-Day SMA calculates the average price over 20 days. And the 50-Day SMA and 200-Day SMA calculates the average price over 50 days and 200 days separately. SMAs are often used to determine the price trend direction. A 200-Day SMA is usually a proxy for the long-term trend, while shorter periods indicate short-term trend.

SMA are commonly compared with stock price or different period SMAs to indicate a trading signal. Generally speaking, if the price goes above the SMA, or a short-term SMA crosses above a long-term SMA, an uptrend is expected, investors may want to go long or cover short. Conversely, if the price goes below the SMA, or the short-term SMA crosses below a long-term SMA, a downtrend is expected, investors may want to go short or exit long.

Two popular trading patterns that use SMA include the death cross and a golden cross. A death cross occurs when the 50-day SMA crosses below the 200-day SMA. This is considered a bearish signal, that further losses are in store. The golden cross is a bullish signal which occurs when a short-term SMA crosses above a long-term SMA.


Artemis Alpha Trust 50-Day SMA Related Terms

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Artemis Alpha Trust (LSE:ATS) Business Description

Traded in Other Exchanges
Address
57-59 St James’s Street, Cassini House, Artemis Investment Management LLP, London, GBR, SW1A 1LD
Artemis Alpha Trust PLC is an investment trust company. Its investment objective is to achieve above-average rates of total return over the longer term and to achieve a growing dividend stream. The company's financial instruments comprise equities, fixed interest securities, warrants, cash balances, a revolving credit the facility as well as debtors and creditors that arise from its operations. Geographically, it has a presence in the UK, Europe, the US, and other countries. The company invests in consumer technology, Oil exploration and production, apparel retail, online food delivery, and other industries.