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XLON:CIFU
Delisted

Carador Income Fund plc Fund Price (Quote)

£0.180
+0 (+0%)
At Close: Jul 17, 2020

Range Low Price High Price Comment
30 days £0.130 £0.180 Friday, 17th Jul 2020 CIFU.L stock ended at £0.180. During the day the stock fluctuated 0% from a day low at £0.180 to a day high of £0.180.
90 days £0.130 £0.200
52 weeks £0.130 £1.16

Historical Carador Income Fund plc prices

Date Open High Low Close Volume
Jul 12, 2019 £1.16 £1.16 £1.16 £1.16 1 913
Jul 11, 2019 £1.16 £1.14 £1.14 £1.14 8
Jul 10, 2019 £1.16 £1.16 £1.16 £1.16 0
Jul 09, 2019 £1.16 £1.16 £1.14 £1.16 283
Jul 08, 2019 £1.16 £1.18 £1.14 £1.16 2 946
Jul 05, 2019 £1.16 £1.18 £1.14 £1.16 631
Jul 04, 2019 £0.615 £0.615 £0.615 £0.615 0
Jul 03, 2019 £1.15 £1.18 £1.18 £1.15 406
Jul 02, 2019 £1.15 £1.18 £1.13 £1.15 353
Jul 01, 2019 £1.15 £1.15 £1.15 £1.15 0
Jun 28, 2019 £1.47 £1.47 £1.47 £1.47 0
Jun 27, 2019 £1.47 £1.46 £1.46 £1.47 2 755
Jun 26, 2019 £1.47 £1.44 £1.44 £1.47 6 249
Jun 25, 2019 £1.47 £1.47 £1.47 £1.47 0
Jun 24, 2019 £1.47 £1.44 £1.44 £1.47 1 194
Jun 21, 2019 £1.47 £1.46 £1.46 £1.47 25 208
Jun 20, 2019 £1.47 £1.46 £1.46 £1.47 26 408
Jun 19, 2019 £1.47 £1.46 £1.44 £1.46 126 665
Jun 18, 2019 £1.47 £1.51 £1.51 £1.47 83 553
Jun 17, 2019 £1.47 £1.48 £1.44 £1.47 68 090
Jun 14, 2019 £1.47 £1.48 £1.48 £1.48 251 252
Jun 13, 2019 £1.47 £1.48 £1.46 £1.48 190 030
Jun 12, 2019 £1.47 £1.48 £1.46 £1.48 91 483
Jun 11, 2019 £1.47 £1.47 £1.47 £1.47 0
Jun 10, 2019 £1.47 £1.46 £1.44 £1.47 1 228

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 CIFU.L stock historical prices to predict future price movements?
Trend Analysis: Examine the CIFU.L 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 CIFU.L 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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