Lumber Commodity Price Chart Trends and Technical Patterns
LBUSD Commodity | 586.50 4.50 0.76% |
Lumber |
Lumber Futures Commodity Momentum Indicator Charts
Despite being surrounded by normalized and non-normalized data, technical analysis and forecasting of Lumber provide a lot of insight regarding the behavior of crowds concerning fear and greed. Investors that are interested in a particular instrument, such as Lumber Futures, can be considered to be 'the market' for Lumber Futures instruments. The emotional state of those investors is what determines the price for Lumber Futures. If more investors feel that the Lumber Futures Commodity will rise, it most likely will increase; and if more investors feel that the Lumber price will fall, then it will fall. Thus, a commodity's price change over time is the most accurate record of the emotional state (i.e., the fear and the greed) of the market for that instrument, and thus, technical analysis is, at its core, a study of crowd behavior. Our charting interfaces help investors to find opportunities and time the market. Lumber Futures price plot provides a helpful view of the trending direction of the price but hides some likely useful information from an investor. The Lumber Futures' momentum indicator charts help investors identify opportunities when the price moves upward or downward. Traders can also locate a price movement's strength using a momentum indicator line in a price chart. Usually, the formula for price momentum indicators compares the most recent closing price to a previous closing price from any time frame. The momentum indicator is typically displayed as a single line in a different section of a chart than the price line or bars.Lumber Futures Commodity Peer indicators
Technical peer comparison is one of the most widely used and accepted methods of commodity analysis among chartists. It analyses Lumber Futures' direct or indirect competition against its essential technical indicators to detect undervalued commodity instruments with similar characteristics or determine the commodity that would be a good addition to a portfolio. Peer analysis of Lumber Futures could also be used in its relative valuation, which is a method of valuing Lumber Futures by comparing different technical metrics with those of similar instruments.
Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
---|---|---|---|---|---|---|---|---|---|---|
LBUSD | 1.24 | 0.25 | 0.12 | 2.59 | 1.03 | 3.42 | 9.80 | |||
SBUSX | 1.48 | 0.26 | 0.07 | (0.59) | 1.32 | 3.53 | 9.50 | |||
ZNUSD | 0.24 | (0.05) | 0.00 | 0.59 | 0.00 | 0.42 | 1.42 | |||
NQUSD | 0.77 | (0.02) | (0.02) | 0.10 | 1.09 | 1.58 | 5.18 | |||
ZOUSX | 1.71 | 0.21 | 0.04 | 4.55 | 2.41 | 2.88 | 10.82 | |||
KEUSX | 1.22 | 0.10 | (0.03) | (0.36) | 1.35 | 2.67 | 6.16 | |||
GFUSX | 0.49 | 0.05 | (0.08) | 0.35 | 0.54 | 1.01 | 3.28 | |||
SILUSD | 1.52 | 0.09 | (0.02) | (1.76) | 1.90 | 3.19 | 9.02 | |||
ZQUSD | 0.04 | 0.00 | (1.04) | 0.11 | 0.00 | 0.17 | 1.07 | |||
YMUSD | 0.57 | (0.01) | (0.02) | 0.11 | 0.46 | 1.09 | 4.41 |
- Analyze a chart of Lumber Futures' commodity price history.
- Study the chart to identify trends in Lumber Futures' commodity prices over time.
- Look for patterns such as uptrends, downtrends, and consolidations, and take note of any significant events that may have affected the price of the commodity.
- Use technical indicators, such as moving averages and trend lines, to further understand the Lumber Futures' price action. These tools can help you determine the commodity's support and resistance levels and momentum.
- Consider the Lumber Futures' volume data, which can provide insight into the commodity's buying and selling activity level. High volume typically indicates a high level of interest in the commodity, which can be a bullish sign.
- Look at news and events that may be affecting Lumber Futures' commodity price. Keep up to date on the Commodity's financial performance, as well as any regulatory changes or macroeconomic events that may impact the price.