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iPath Bloomberg Commodity Index Total ETF Price (Quote)

$33.75
+0.710 (+2.15%)
At Close: May 17, 2024

Range Low Price High Price Comment
30 days $31.63 $33.75 Friday, 17th May 2024 DJP stock ended at $33.75. This is 2.15% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.99% from a day low at $33.42 to a day high of $33.75.
90 days $29.47 $33.75
52 weeks $29.15 $33.75

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

Date Open High Low Close Volume
Apr 30, 2019 $22.63 $22.64 $22.47 $22.55 101 099
Apr 29, 2019 $22.57 $22.58 $22.47 $22.52 137 062
Apr 26, 2019 $22.68 $22.69 $22.52 $22.55 167 055
Apr 25, 2019 $22.79 $22.81 $22.70 $22.70 215 644
Apr 24, 2019 $22.89 $22.89 $22.77 $22.78 129 921
Apr 23, 2019 $22.83 $22.90 $22.83 $22.88 115 187
Apr 22, 2019 $22.74 $23.15 $22.74 $22.97 117 926
Apr 18, 2019 $22.84 $22.90 $22.80 $22.88 148 443
Apr 17, 2019 $22.98 $23.03 $22.84 $22.85 125 183
Apr 16, 2019 $23.01 $23.01 $22.92 $22.99 183 217
Apr 15, 2019 $23.06 $23.10 $23.03 $23.07 213 458
Apr 12, 2019 $23.18 $23.22 $23.14 $23.19 152 989
Apr 11, 2019 $23.22 $23.22 $23.02 $23.07 134 301
Apr 10, 2019 $23.22 $23.33 $23.19 $23.28 169 920
Apr 09, 2019 $23.20 $23.21 $23.14 $23.16 95 781
Apr 08, 2019 $23.20 $23.26 $23.19 $23.22 99 445
Apr 05, 2019 $23.05 $23.10 $22.98 $23.09 127 231
Apr 04, 2019 $22.96 $23.12 $22.95 $23.05 109 825
Apr 03, 2019 $22.99 $23.03 $22.92 $23.01 456 072
Apr 02, 2019 $22.81 $22.94 $22.80 $22.93 208 978

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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