Aluminum Futures Commodity Forecast - Accumulation Distribution

ALIUSD Commodity   2,574  13.75  0.54%   
Investors can use prediction functions to forecast Aluminum Futures' commodity prices and determine the direction of Aluminum Futures's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  
On November 20, 2024 Aluminum Futures had Accumulation Distribution of 0. The accumulation distribution (A/D) indicator shows the degree to which Aluminum Futures is accumulated by the market over a given period. It uses the quote sensitivity to the highest or lowest daily price of Aluminum Futures to determine if accumulation or reduction is taking place in the market. This value is adjusted by Aluminum Futures trading volume to give more weight to distributions with higher volume over lower volume.
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Aluminum Futures Trading Date Momentum

On November 21 2024 Aluminum Futures was traded for  2,570  at the closing time. The maximum traded price for the trading interval was 2,570  and the lowest daily price was  2,570 . The daily volume was recorded at 1.9 K. The volume of trading on 21st of November 2024 played a part in the next trading day price drop. The overall trading delta to the next closing price was 0.11% . The overall trading delta to the closing price today is 0.55% .
Accumulation distribution indicator can signal that a trend is either nearing completion, at a continuation, or is about to break-outs. The actual value of this indicator is of no significance. What is significant is the change in value of over time. The formula for A/D of a given trading day can be expressed as follow: ((Close - Low) - (High - Close)) / (High - Low) X Volume
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Other Forecasting Options for Aluminum Futures

For every potential investor in Aluminum, whether a beginner or expert, Aluminum Futures' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Aluminum Commodity price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Aluminum. Basic forecasting techniques help filter out the noise by identifying Aluminum Futures' price trends.

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Aluminum Futures Technical and Predictive Analytics

The commodity market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Aluminum Futures' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Aluminum Futures' current price.

Aluminum Futures Market Strength Events

Market strength indicators help investors to evaluate how Aluminum Futures commodity reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Aluminum Futures shares will generate the highest return on investment. By undertsting and applying Aluminum Futures commodity market strength indicators, traders can identify Aluminum Futures entry and exit signals to maximize returns.

Aluminum Futures Risk Indicators

The analysis of Aluminum Futures' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Aluminum Futures' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting aluminum commodity prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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