NASDAQ:KBSF
Delisted
KBS Fashion Group Limited Stock Price (Quote)
$1.74
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.40 | $2.43 | Wednesday, 20th Jul 2022 KBSF stock ended at $1.74. During the day the stock fluctuated 0% from a day low at $1.74 to a day high of $1.74. |
90 days | $1.28 | $2.72 | |
52 weeks | $1.28 | $7.01 |
Date | Open | High | Low | Close | Volume |
Dec 13, 2021 | $2.18 | $2.31 | $2.07 | $2.08 | 50 150 |
Dec 10, 2021 | $2.13 | $2.32 | $2.13 | $2.24 | 56 336 |
Dec 09, 2021 | $2.28 | $2.33 | $2.12 | $2.12 | 28 629 |
Dec 08, 2021 | $2.21 | $2.28 | $2.19 | $2.28 | 51 310 |
Dec 07, 2021 | $2.05 | $2.29 | $2.05 | $2.21 | 51 961 |
Dec 06, 2021 | $2.05 | $2.12 | $1.92 | $2.11 | 111 047 |
Dec 03, 2021 | $2.15 | $2.37 | $2.04 | $2.05 | 344 736 |
Dec 02, 2021 | $2.33 | $2.55 | $2.17 | $2.24 | 388 943 |
Dec 01, 2021 | $2.68 | $2.80 | $2.31 | $2.37 | 429 101 |
Nov 30, 2021 | $3.36 | $3.36 | $2.65 | $2.66 | 632 883 |
Nov 29, 2021 | $3.48 | $3.67 | $3.20 | $3.41 | 1 370 203 |
Nov 26, 2021 | $3.10 | $3.69 | $3.04 | $3.40 | 1 103 302 |
Nov 24, 2021 | $3.14 | $3.40 | $3.08 | $3.36 | 251 325 |
Nov 23, 2021 | $3.07 | $3.20 | $2.96 | $3.06 | 200 825 |
Nov 22, 2021 | $2.69 | $3.27 | $2.60 | $3.12 | 717 757 |
Nov 19, 2021 | $2.77 | $2.80 | $2.64 | $2.74 | 142 776 |
Nov 18, 2021 | $2.92 | $2.98 | $2.68 | $2.70 | 103 260 |
Nov 17, 2021 | $2.78 | $2.99 | $2.70 | $2.98 | 109 485 |
Nov 16, 2021 | $2.76 | $2.93 | $2.66 | $2.87 | 171 540 |
Nov 15, 2021 | $2.70 | $2.83 | $2.56 | $2.71 | 155 433 |
Nov 12, 2021 | $2.82 | $2.91 | $2.61 | $2.66 | 163 000 |
Nov 11, 2021 | $2.98 | $3.07 | $2.75 | $2.81 | 152 919 |
Nov 10, 2021 | $3.10 | $3.14 | $2.87 | $2.93 | 118 315 |
Nov 09, 2021 | $3.00 | $3.24 | $2.92 | $3.10 | 219 057 |
Nov 08, 2021 | $2.85 | $3.16 | $2.84 | $3.02 | 142 943 |
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.
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 KBSF stock historical prices to predict future price movements?
Trend Analysis: Examine the KBSF 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.
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.
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 KBSF 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.