LD etf prediction: down to 46.46 USD iPath Bloomberg Lead Subindex Total Return SM Index ETN fund price price prognosis

ETF

Forecast for Fri 19 May 2023 price 46.46

iPath Bloomberg Lead Subindex Total Return SM Index ETN etf price forecast for further price development down to -0.28% (time horizon: 1 day) and price target of 46.46 USD. Short-term (time horizon: 2 weeks) iPath Bloomberg Lead Subindex Total Return SM Index ETN fund price prediction for 2023-05-19 with daily closed price projections

Key Facts

Symbol LD 

ISIN US06739H2638 

CUSIP 06739H263

Currency USD

Forecast price change %

twitter facebook

On our site we made daily predictions for finance products based on statistical analysis. You can export / download forecasted data as CSV file, no login required. The information can be used for day trading.

Candlestick patterns

Candlestick patterns can be used as additional information for price prediction. Following list show which pattern applies on latest price information.

Bollinger Bollinger Bands for iPath Bloomberg Lead Subindex Total Return SM Index ETN can provide the information where the market is moving based on price information.

iPath Bloomberg Lead Subindex Total Return SM Index ETN Short Volume Ratio is shown in the diagram. Short volume sales can be seen as an investor sentiment.

Converting prices to returns iPath Bloomberg Lead Subindex Total Return SM Index ETN.

On-Balance Volume information for iPath Bloomberg Lead Subindex Total Return SM Index ETN. On-Balance Volume information can be an indicator for bullish or bearish outcome.

Accumulation / Distribution (A/D) indicator information for iPath Bloomberg Lead Subindex Total Return SM Index ETN. The indicator identify divergences between price and volume flow.

Aroon Oscillator information for iPath Bloomberg Lead Subindex Total Return SM Index ETN. The trend-following indicator can show the strengh of a current trend and likelihood that trend can continue.

Average Directional Index (ADX) information for iPath Bloomberg Lead Subindex Total Return SM Index ETN. The index can be used to identify the strengh of a trend.

Moving Average Convergence Divergence (MACD) for iPath Bloomberg Lead Subindex Total Return SM Index ETN. The indicator helps to predict trend direction and the momentum of the trend.

Stochastic Oscillator as momentum indicator for iPath Bloomberg Lead Subindex Total Return SM Index ETN. The indicator is useful for identifying overbought and oversold levels.

Relative Strength Index (RSI) for iPath Bloomberg Lead Subindex Total Return SM Index ETN. RSI is a momentum oscillator that measures the speed and change of price development. The momentum indicator was created by analyst Welles Wilder. The result compares recent gains and losses over restricted time period. Primary usage of the indicator is to identify overbought or oversold signals. When RSI indicator reaches a value of 70 it could mean that speculators should consider selling, suggests Wilder and Chong. Or vice versa when selling excess at which the RSI Indicators show a value of 30 [ Relative Strength Index for Developing Effective Trading Strategies in Constructing Optimal Portfolio ].

52W High 52W Low Market Cap

Similar shares

Trend:
chart
Xtrackers Russell 1000 US QARP
Trend:
chart
ProShares Ultra Yen
Trend:
chart
First Trust Nasdaq Transportation ETF
Trend:
chart
Alpha Architect U.S. Quantitative Value

iPath Bloomberg Lead Subindex Total Return SM Index ETN on Nasdaq

iPath Bloomberg Lead Subindex Total Return SM Index ETN on finviz

Figure below show the etf predictions.
Date Closing price Prediction was updated
2023-05-08 46.46 2023-03-25 09:27
2023-05-09 46.46 2023-03-25 09:27
2023-04-28 46.45 2023-03-25 09:27
2023-05-01 46.46 2023-03-25 09:27
2023-05-02 46.47 2023-03-25 09:27
2023-04-27 46.45 2023-03-25 09:27
2023-05-03 46.47 2023-03-25 09:27
2023-05-04 46.47 2023-03-25 09:27
2023-05-05 46.47 2023-03-25 09:27
2023-05-10 46.46 2023-03-25 09:27
2023-05-11 46.46 2023-03-25 09:27
2023-05-12 46.46 2023-03-25 09:27
2023-05-15 46.46 2023-03-25 09:27
2023-05-16 46.46 2023-03-25 09:27
2023-05-19 46.46 2023-03-25 09:27
2023-05-17 46.46 2023-03-25 09:27
2023-05-18 46.46 2023-03-25 09:27
2023-03-28 46.57 2023-03-25 09:27
2023-03-29 46.48 2023-03-25 09:27
2023-03-30 46.58 2023-03-25 09:27
2023-04-10 46.39 2023-03-25 09:27
2023-04-11 46.37 2023-03-25 09:27
2023-04-12 46.38 2023-03-25 09:27
2023-03-31 46.61 2023-03-25 09:27
2023-04-03 46.55 2023-03-25 09:27
2023-04-04 46.62 2023-03-25 09:27
2023-04-05 46.60 2023-03-25 09:27
2023-04-06 46.51 2023-03-25 09:27
2023-04-07 46.49 2023-03-25 09:27
2023-04-13 46.40 2023-03-25 09:27
2023-04-14 46.36 2023-03-25 09:27
2023-04-17 46.37 2023-03-25 09:27
2023-04-18 46.41 2023-03-25 09:27
2023-04-19 46.42 2023-03-25 09:27
2023-04-20 46.44 2023-03-25 09:27
2023-04-21 46.43 2023-03-25 09:27
2023-04-24 46.42 2023-03-25 09:27
2023-04-25 46.43 2023-03-25 09:27
2023-04-26 46.45 2023-03-25 09:27

The forecast (dashed curve) of the share price performance is based on historical data. Our forecast model is based on mathematical, statistical methods. The website offers price forecasts and analysis tools for equities and other securities, which are exclusively based on the prices of these securities in the past. Information about these prices is provided to us by third parties. Although we believe, If we believe that our sources are reliable, we cannot guarantee the accuracy, completeness, timeliness and correct sequencing of this information. We do not investigate the issuers of the securities to which our forecasts relate, nor do we consider any financial data or other data of such issuers with the exception of the past prices of the securities. Therefore, our forecasts do not constitute an analysis of other commercial or financial factors or circumstances, that may be relevant for future security price flows. Investments require additional considerations. Our forecasts cannot reflect the specific situation. Experience and risk profile of an individual investor or the tax implications an investment may have for the investor. Although we believe that our mathematical models are a tool to try to explore the possibility for future price development with the help of past performance, such developments are subject to a multitude of different influences. and therefore not really predictable. We cannot guarantee the success of any investment you make based on the information published here. This website is for information purposes only. All information and data on this website cannot be guaranteed to be accurate, accuracy, completeness and appropriateness - neither explicit nor implicit.