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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
Sep 18, 2018 $0.0160 $0.0169 $0.0150 $0.0159 484 545
Sep 17, 2018 $0.0170 $0.0170 $0.0150 $0.0155 3 162 998
Sep 14, 2018 $0.0165 $0.0170 $0.0151 $0.0168 495 998
Sep 13, 2018 $0.0155 $0.0169 $0.0155 $0.0167 557 338
Sep 12, 2018 $0.0160 $0.0163 $0.0155 $0.0160 1 644 236
Sep 11, 2018 $0.0180 $0.0180 $0.0152 $0.0162 1 416 044
Sep 10, 2018 $0.0163 $0.0185 $0.0163 $0.0180 333 615
Sep 07, 2018 $0.0194 $0.0195 $0.0165 $0.0182 1 280 321
Sep 06, 2018 $0.0189 $0.0199 $0.0179 $0.0195 237 335
Sep 05, 2018 $0.0161 $0.0200 $0.0161 $0.0195 870 350
Sep 04, 2018 $0.0191 $0.0210 $0.0182 $0.0196 266 514
Aug 31, 2018 $0.0195 $0.0200 $0.0190 $0.0199 204 420
Aug 30, 2018 $0.0205 $0.0205 $0.0184 $0.0194 394 808
Aug 29, 2018 $0.0217 $0.0225 $0.0184 $0.0187 1 221 210
Aug 28, 2018 $0.0240 $0.0240 $0.0183 $0.0215 1 391 252
Aug 27, 2018 $0.0190 $0.0235 $0.0179 $0.0207 1 537 289
Aug 24, 2018 $0.0189 $0.0210 $0.0180 $0.0190 629 938
Aug 23, 2018 $0.0220 $0.0220 $0.0184 $0.0191 753 432
Aug 22, 2018 $0.0180 $0.0207 $0.0180 $0.0188 1 599 725
Aug 21, 2018 $0.0221 $0.0235 $0.0201 $0.0207 541 234
Aug 20, 2018 $0.0177 $0.0240 $0.0177 $0.0230 1 647 763
Aug 17, 2018 $0.0206 $0.0208 $0.0200 $0.0200 715 780
Aug 16, 2018 $0.0206 $0.0210 $0.0201 $0.0203 321 463
Aug 15, 2018 $0.0201 $0.0220 $0.0201 $0.0210 674 551
Aug 14, 2018 $0.0280 $0.0280 $0.0200 $0.0203 637 027

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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