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iPath Bloomberg Commodity Index Total ETF Price (Quote)

$32.70
-0.340 (-1.03%)
At Close: May 31, 2024

Range Low Price High Price Comment
30 days $31.63 $34.28 Friday, 31st May 2024 DJP stock ended at $32.70. This is 1.03% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 1.65% from a day low at $32.67 to a day high of $33.21.
90 days $30.16 $34.28
52 weeks $29.40 $34.28

Historical iPath Bloomberg Commodity Index Total Return(SM) ETN prices

Date Open High Low Close Volume
Feb 27, 2020 $20.07 $20.19 $19.97 $20.08 221 905
Feb 26, 2020 $20.58 $20.70 $20.43 $20.44 195 026
Feb 25, 2020 $20.82 $20.86 $20.57 $20.57 380 609
Feb 24, 2020 $20.85 $20.92 $20.81 $20.86 1 054 138
Feb 21, 2020 $21.34 $21.39 $21.28 $21.33 71 243
Feb 20, 2020 $21.40 $21.50 $21.33 $21.34 103 361
Feb 19, 2020 $21.35 $21.49 $21.27 $21.48 77 289
Feb 18, 2020 $21.11 $21.31 $21.11 $21.31 267 628
Feb 14, 2020 $21.11 $21.15 $21.03 $21.06 129 094
Feb 13, 2020 $21.06 $21.10 $21.01 $21.07 87 694
Feb 12, 2020 $20.95 $21.02 $20.92 $21.00 147 937
Feb 11, 2020 $20.83 $20.83 $20.71 $20.77 1 175 149
Feb 10, 2020 $20.68 $20.77 $20.65 $20.66 198 461
Feb 07, 2020 $20.86 $20.92 $20.84 $20.87 127 999
Feb 06, 2020 $20.83 $20.97 $20.80 $20.97 157 019
Feb 05, 2020 $20.86 $20.92 $20.84 $20.88 147 122
Feb 04, 2020 $20.84 $20.84 $20.65 $20.66 123 949
Feb 03, 2020 $20.88 $20.88 $20.56 $20.61 1 003 805
Jan 31, 2020 $20.87 $20.98 $20.83 $20.88 318 058
Jan 30, 2020 $21.05 $21.09 $20.89 $21.04 231 715
Jan 29, 2020 $21.35 $21.35 $21.18 $21.24 178 893
Jan 28, 2020 $21.34 $21.43 $21.29 $21.37 233 626
Jan 27, 2020 $21.65 $21.65 $21.29 $21.35 238 352
Jan 24, 2020 $21.82 $21.82 $21.67 $21.72 73 785
Jan 23, 2020 $22.11 $22.11 $21.94 $22.02 119 936

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