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Range Low Price High Price Comment
30 days $0.0004 $0.0007 Friday, 17th May 2024 SWRM stock ended at $0.0006. This is 8.33% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 50.00% from a day low at $0.0004 to a day high of $0.0006.
90 days $0.0004 $0.0007
52 weeks $0.0004 $0.0016

Historical AppSwarm, Inc. prices

Date Open High Low Close Volume
Nov 16, 2023 $0.0008 $0.0008 $0.0007 $0.0007 418 042
Nov 15, 2023 $0.0007 $0.0008 $0.0007 $0.0007 1 032 153
Nov 14, 2023 $0.0007 $0.0009 $0.0007 $0.0008 682 823
Nov 13, 2023 $0.0007 $0.0009 $0.0006 $0.0008 25 151 589
Nov 10, 2023 $0.0007 $0.0008 $0.0007 $0.0007 216 095
Nov 09, 2023 $0.0007 $0.0008 $0.0007 $0.0007 1 433 223
Nov 08, 2023 $0.0007 $0.0007 $0.0007 $0.0007 2 254 343
Nov 07, 2023 $0.0007 $0.0008 $0.0007 $0.0008 60 274
Nov 06, 2023 $0.0007 $0.0008 $0.0007 $0.0008 1 149 165
Nov 03, 2023 $0.0007 $0.0008 $0.0007 $0.0007 535 321
Nov 02, 2023 $0.0006 $0.0007 $0.0006 $0.0007 193 428
Nov 01, 2023 $0.0006 $0.0008 $0.0006 $0.0006 6 147 008
Oct 31, 2023 $0.0007 $0.0007 $0.0007 $0.0007 1 183
Oct 30, 2023 $0.0006 $0.0007 $0.0006 $0.0007 1 667 400
Oct 27, 2023 $0.0007 $0.0007 $0.0007 $0.0007 10 208
Oct 26, 2023 $0.0007 $0.0008 $0.0006 $0.0008 1 030 225
Oct 25, 2023 $0.0007 $0.0008 $0.0007 $0.0008 389 758
Oct 24, 2023 $0.0007 $0.0007 $0.0006 $0.0007 1 773 019
Oct 23, 2023 $0.0008 $0.0008 $0.0007 $0.0007 30 000
Oct 20, 2023 $0.0007 $0.0007 $0.0006 $0.0006 1 893 112
Oct 19, 2023 $0.0007 $0.0007 $0.0007 $0.0007 10 000
Oct 18, 2023 $0.0006 $0.0007 $0.0006 $0.0007 923 000
Oct 17, 2023 $0.0007 $0.0007 $0.0007 $0.0007 450 700
Oct 16, 2023 $0.0008 $0.0008 $0.0007 $0.0007 1 530 047
Oct 13, 2023 $0.0007 $0.0008 $0.0007 $0.0007 270 000

FAQ

What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.

Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.

How can I use SWRM stock historical prices to predict future price movements?
Trend Analysis: Examine the SWRM stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.

What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.

This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.

A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.

Why do the SWRM stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.

How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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About AppSwarm, Inc.

AppSwarm. AppSwarm, Inc., a technology development and incubation company, focuses on the development of mobile applications and technology. It offers end-to-end services for mobile application development across various platforms, including Apple iPhone, RIM s BlackBerry, Google's Android, and Microsoft's Windows Mobile. The company also provides IAD services which focus ongoing develop and launching of software platforms and mobile apps for the business ... SWRM Profile

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