Fold Holdings Class Stock Market Value

FLD Stock   2.79  0.03  1.09%   
Fold Holdings' market value is the price at which a share of Fold Holdings trades on a public exchange. It measures the collective expectations of Fold Holdings Class investors about its performance. Fold Holdings is trading at 2.79 as of the 5th of January 2026, a 1.09 percent up since the beginning of the trading day. The stock's lowest day price was 2.61.
With this module, you can estimate the performance of a buy and hold strategy of Fold Holdings Class and determine expected loss or profit from investing in Fold Holdings over a given investment horizon. Check out Fold Holdings Correlation, Fold Holdings Volatility and Fold Holdings Alpha and Beta module to complement your research on Fold Holdings.
Symbol

Fold Holdings Class Price To Book Ratio

Is Construction Machinery & Heavy Transportation Equipment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Fold Holdings. If investors know Fold will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Fold Holdings listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
16.223
Earnings Share
0.6
Revenue Per Share
0.186
Quarterly Revenue Growth
0.412
Return On Assets
(0.09)
The market value of Fold Holdings Class is measured differently than its book value, which is the value of Fold that is recorded on the company's balance sheet. Investors also form their own opinion of Fold Holdings' value that differs from its market value or its book value, called intrinsic value, which is Fold Holdings' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fold Holdings' market value can be influenced by many factors that don't directly affect Fold Holdings' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fold Holdings' value and its price as these two are different measures arrived at by different means. Investors typically determine if Fold Holdings is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fold Holdings' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Fold Holdings 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Fold Holdings' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Fold Holdings.
0.00
01/16/2024
No Change 0.00  0.0 
In 1 year 11 months and 22 days
01/05/2026
0.00
If you would invest  0.00  in Fold Holdings on January 16, 2024 and sell it all today you would earn a total of 0.00 from holding Fold Holdings Class or generate 0.0% return on investment in Fold Holdings over 720 days. Fold Holdings is related to or competes with Streamex Corp, Noah Holdings, Arrowmark Financial, First Internet, BTCS, Innventure, and Monroe Capital. Fold Holdings is entity of United States More

Fold Holdings Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Fold Holdings' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Fold Holdings Class upside and downside potential and time the market with a certain degree of confidence.

Fold Holdings Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Fold Holdings' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fold Holdings' standard deviation. In reality, there are many statistical measures that can use Fold Holdings historical prices to predict the future Fold Holdings' volatility.
Hype
Prediction
LowEstimatedHigh
0.142.776.71
Details
Intrinsic
Valuation
LowRealHigh
0.122.466.40
Details
Naive
Forecast
LowNextHigh
0.062.896.83
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-0.14-0.13-0.12
Details

Fold Holdings Class Backtested Returns

Fold Holdings Class secures Sharpe Ratio (or Efficiency) of -0.11, which denotes the company had a -0.11 % return per unit of risk over the last 3 months. Fold Holdings Class exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fold Holdings' Variance of 16.01, standard deviation of 4.0, and Mean Deviation of 3.05 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 1.25, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Fold Holdings will likely underperform. At this point, Fold Holdings Class has a negative expected return of -0.45%. Please make sure to confirm Fold Holdings' treynor ratio, accumulation distribution, price action indicator, as well as the relationship between the potential upside and day median price , to decide if Fold Holdings Class performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.67  

Very good reverse predictability

Fold Holdings Class has very good reverse predictability. Overlapping area represents the amount of predictability between Fold Holdings time series from 16th of January 2024 to 10th of January 2025 and 10th of January 2025 to 5th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fold Holdings Class price movement. The serial correlation of -0.67 indicates that around 67.0% of current Fold Holdings price fluctuation can be explain by its past prices.
Correlation Coefficient-0.67
Spearman Rank Test-0.75
Residual Average0.0
Price Variance5.7

Fold Holdings Class lagged returns against current returns

Autocorrelation, which is Fold Holdings stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Fold Holdings' stock expected returns. We can calculate the autocorrelation of Fold Holdings returns to help us make a trade decision. For example, suppose you find that Fold Holdings has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Fold Holdings regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Fold Holdings stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fold Holdings stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fold Holdings stock over time.
   Current vs Lagged Prices   
       Timeline  

Fold Holdings Lagged Returns

When evaluating Fold Holdings' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fold Holdings stock have on its future price. Fold Holdings autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Fold Holdings autocorrelation shows the relationship between Fold Holdings stock current value and its past values and can show if there is a momentum factor associated with investing in Fold Holdings Class.
   Regressed Prices   
       Timeline  

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When determining whether Fold Holdings Class is a strong investment it is important to analyze Fold Holdings' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Fold Holdings' future performance. For an informed investment choice regarding Fold Stock, refer to the following important reports:
Check out Fold Holdings Correlation, Fold Holdings Volatility and Fold Holdings Alpha and Beta module to complement your research on Fold Holdings.
You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Fold Holdings technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Fold Holdings technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Fold Holdings trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...