Consumer Finance Mutual Fund Forecast - Daily Balance Of Power
| FSVLX Fund | USD 16.00 0.34 2.08% |
Consumer Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Consumer Finance stock prices and determine the direction of Consumer Finance Portfolio's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Consumer Finance's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Consumer Finance to cross-verify your projections. Consumer |
Most investors in Consumer Finance cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Consumer Finance's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Consumer Finance's price structures and extracts relationships that further increase the generated results' accuracy.
Balance of Power indicator (or BOP) measures the strength of Consumer Finance Portfolio market sensitivity to bulls and bears. It estimates the ability of Consumer Finance buyers and sellers to push price to an extreme high or extreme low level. As a result, by monitoring Consumer Finance Balance of Power indicator one can determine a trend of the price direction.| Previous Daily Balance Of Power | Daily Balance Of Power | Trend |
| 0 | (9,223,372,036,855) |
| Check Consumer Finance Volatility | Backtest Consumer Finance | Information Ratio |
Consumer Finance Trading Date Momentum
| On May 01 2024 Consumer Finance Portfolio was traded for 16.00 at the closing time. The highest daily price throughout the period was 16.00 and the lowest price was 16.00 . There was no trading activity during the period 1.0. Lack of trading volume on 05/01/2024 did not affect price variability. The overall trading delta to current closing price is 0.00% . |
Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.
| Compare Consumer Finance to competition |
Other Forecasting Options for Consumer Finance
For every potential investor in Consumer, whether a beginner or expert, Consumer Finance's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Consumer Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Consumer. Basic forecasting techniques help filter out the noise by identifying Consumer Finance's price trends.Consumer Finance Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Consumer Finance mutual fund to make a market-neutral strategy. Peer analysis of Consumer Finance could also be used in its relative valuation, which is a method of valuing Consumer Finance by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Consumer Finance Por Technical and Predictive Analytics
The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Consumer Finance's 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 Consumer Finance's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Consumer Finance Market Strength Events
Market strength indicators help investors to evaluate how Consumer Finance mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Consumer Finance shares will generate the highest return on investment. By undertsting and applying Consumer Finance mutual fund market strength indicators, traders can identify Consumer Finance Portfolio entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 16.0 | |||
| Day Typical Price | 16.0 | |||
| Price Action Indicator | (0.17) | |||
| Period Momentum Indicator | (0.34) |
Consumer Finance Risk Indicators
The analysis of Consumer Finance's 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 Consumer Finance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting consumer mutual fund 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.
| Mean Deviation | 0.7898 | |||
| Semi Deviation | 1.09 | |||
| Standard Deviation | 0.9932 | |||
| Variance | 0.9864 | |||
| Downside Variance | 1.3 | |||
| Semi Variance | 1.2 | |||
| Expected Short fall | (0.74) |
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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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Consumer Finance to cross-verify your projections. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.