Fact Inc Stock Momentum Indicators Williams R percentage

FCTI Stock  USD 0.0001  0.00  0.00%   
Fact momentum indicators tool provides the execution environment for running the Williams R percentage indicator and other technical functions against Fact. Fact value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of momentum indicators indicators. As with most other technical indicators, the Williams R percentage indicator function is designed to identify and follow existing trends. Momentum indicators of Fact are pattern recognition functions that provide distinct formation on Fact potential trading signals or future price movement. Analysts can use these trading signals to identify current and future trends and trend reversals to provide buy and sell recommendations. Please specify Time Period to run this model.

The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was nine with a total number of output elements of fifty-two. The Williams %R value was developed by Larry Williams and ranges from zero to 100. The values are charted on an inverted scale. Values below 20 indicate an overbought condition for Fact Inc and a sell signal is generated when it crosses the 20 line. Values over 80 indicate an oversold condition for Fact and a buy signal is generated when it crosses the 80 line.

Fact Technical Analysis Modules

Most technical analysis of Fact help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Fact from various momentum indicators to cycle indicators. When you analyze Fact charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Fact Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Fact Inc. We use our internally-developed statistical techniques to arrive at the intrinsic value of Fact Inc based on widely used predictive technical indicators. In general, we focus on analyzing Fact Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Fact's daily price indicators and compare them against related drivers, such as momentum indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Fact's intrinsic value. In addition to deriving basic predictive indicators for Fact, we also check how macroeconomic factors affect Fact price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fact's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
0.000.00010.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000840.00
Details
Naive
Forecast
LowNextHigh
0.00010.00010.0001
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.00010.00010.0001
Details

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Fact Inc pair trading

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Fact position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Fact will appreciate offsetting losses from the drop in the long position's value.

Fact Pair Trading

Fact Inc Pair Trading Analysis

The ability to find closely correlated positions to Fact could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fact when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fact - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fact Inc to buy it.
The correlation of Fact is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fact moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fact Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fact can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Other Information on Investing in Fact Pink Sheet

Fact financial ratios help investors to determine whether Fact Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Fact with respect to the benefits of owning Fact security.