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Range Low Price High Price Comment
30 days $5.53 $5.53 Wednesday, 17th Aug 2022 LLIT stock ended at $5.53. During the day the stock fluctuated 0% from a day low at $5.53 to a day high of $5.53.
90 days $5.53 $5.53
52 weeks $5.01 $22.20

Historical Lianluo Smart Limited prices

Date Open High Low Close Volume
Feb 16, 2022 $6.19 $6.26 $5.90 $6.20 436 864
Feb 15, 2022 $6.18 $6.42 $6.05 $6.33 364 006
Feb 14, 2022 $6.22 $6.47 $6.03 $6.09 270 164
Feb 11, 2022 $6.69 $6.86 $6.22 $6.32 278 319
Feb 10, 2022 $6.78 $7.23 $6.68 $6.74 412 303
Feb 09, 2022 $6.47 $7.23 $6.47 $6.99 767 356
Feb 08, 2022 $6.28 $6.56 $6.28 $6.44 219 555
Feb 07, 2022 $6.42 $6.65 $6.22 $6.38 297 484
Feb 04, 2022 $6.20 $6.60 $6.15 $6.52 576 019
Feb 03, 2022 $6.36 $6.40 $6.10 $6.17 255 163
Feb 02, 2022 $6.94 $7.04 $6.32 $6.49 327 609
Feb 01, 2022 $6.75 $7.16 $6.42 $6.90 461 077
Jan 31, 2022 $6.03 $6.80 $6.03 $6.76 660 976
Jan 28, 2022 $5.98 $6.14 $5.68 $6.13 732 360
Jan 27, 2022 $6.18 $6.39 $5.98 $6.07 262 061
Jan 26, 2022 $6.54 $6.88 $6.17 $6.19 472 932
Jan 25, 2022 $6.41 $6.74 $6.31 $6.42 285 993
Jan 24, 2022 $6.40 $6.79 $6.00 $6.73 474 292
Jan 21, 2022 $7.06 $7.13 $6.62 $6.67 566 261
Jan 20, 2022 $7.79 $7.97 $7.32 $7.33 344 000
Jan 19, 2022 $7.88 $8.12 $7.53 $7.61 303 291
Jan 18, 2022 $8.12 $8.34 $7.76 $7.93 316 363
Jan 14, 2022 $8.21 $8.91 $8.20 $8.48 202 657
Jan 13, 2022 $8.73 $8.82 $8.26 $8.39 270 833
Jan 12, 2022 $9.17 $9.31 $8.61 $8.78 217 124

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 LLIT stock historical prices to predict future price movements?
Trend Analysis: Examine the LLIT 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 LLIT 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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