TokenFi Market Value

TOKEN Crypto  USD 0.02  0  5.13%   
TokenFi's market value is the price at which a share of TokenFi trades on a public exchange. It measures the collective expectations of TokenFi investors about its performance. TokenFi is trading at 0.0185 as of the 19th of July 2025, a 5.13 percent decrease since the beginning of the trading day. With this module, you can estimate the performance of a buy and hold strategy of TokenFi and determine expected loss or profit from investing in TokenFi over a given investment horizon. Check out TokenFi Correlation, TokenFi Volatility and Investing Opportunities module to complement your research on TokenFi.
Symbol

Please note, there is a significant difference between TokenFi's coin value and its market price as these two are different measures arrived at by different means. Cryptocurrency investors typically determine TokenFi value by looking at such factors as its true mass adoption, usability, application, safety as well as its ability to resist fraud and manipulation. On the other hand, TokenFi's price is the amount at which it trades on the cryptocurrency exchange or other digital marketplace that truly represents its supply and demand.

TokenFi '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 TokenFi's crypto coin 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 TokenFi.
0.00
04/20/2025
No Change 0.00  0.0 
In 2 months and 31 days
07/19/2025
0.00
If you would invest  0.00  in TokenFi on April 20, 2025 and sell it all today you would earn a total of 0.00 from holding TokenFi or generate 0.0% return on investment in TokenFi over 90 days. TokenFi is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. TokenFi is peer-to-peer digital currency powered by the Blockchain technology.

TokenFi 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 TokenFi's crypto coin 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 TokenFi upside and downside potential and time the market with a certain degree of confidence.

TokenFi Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for TokenFi's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TokenFi's standard deviation. In reality, there are many statistical measures that can use TokenFi historical prices to predict the future TokenFi's volatility.
Hype
Prediction
LowEstimatedHigh
0.000.028.63
Details
Intrinsic
Valuation
LowRealHigh
0.000.028.63
Details
Naive
Forecast
LowNextHigh
0.00040.028.63
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.010.020.02
Details

TokenFi Backtested Returns

TokenFi appears to be exceptionally volatile, given 3 months investment horizon. TokenFi owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.078, which indicates digital coin had a 0.078 % return per unit of risk over the last 3 months. By inspecting TokenFi's technical indicators, you can evaluate if the expected return of 0.67% is justified by implied risk. Please review TokenFi's Risk Adjusted Performance of 0.1011, semi deviation of 6.85, and Coefficient Of Variation of 1013.57 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.98, which indicates possible diversification benefits within a given portfolio. TokenFi returns are very sensitive to returns on the market. As the market goes up or down, TokenFi is expected to follow.

Auto-correlation

    
  -0.69  

Very good reverse predictability

TokenFi has very good reverse predictability. Overlapping area represents the amount of predictability between TokenFi time series from 20th of April 2025 to 4th of June 2025 and 4th of June 2025 to 19th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of TokenFi price movement. The serial correlation of -0.69 indicates that around 69.0% of current TokenFi price fluctuation can be explain by its past prices.
Correlation Coefficient-0.69
Spearman Rank Test0.06
Residual Average0.0
Price Variance0.0

TokenFi lagged returns against current returns

Autocorrelation, which is TokenFi crypto coin'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 TokenFi's crypto coin expected returns. We can calculate the autocorrelation of TokenFi returns to help us make a trade decision. For example, suppose you find that TokenFi has exhibited high autocorrelation historically, and you observe that the crypto coin 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  

TokenFi 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 TokenFi crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TokenFi crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TokenFi crypto coin over time.
   Current vs Lagged Prices   
       Timeline  

TokenFi Lagged Returns

When evaluating TokenFi's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TokenFi crypto coin have on its future price. TokenFi 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, TokenFi autocorrelation shows the relationship between TokenFi crypto coin current value and its past values and can show if there is a momentum factor associated with investing in TokenFi.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether TokenFi offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of TokenFi's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Tokenfi Crypto.
Check out TokenFi Correlation, TokenFi Volatility and Investing Opportunities module to complement your research on TokenFi.
You can also try the Stocks Directory module to find actively traded stocks across global markets.
TokenFi technical crypto coin 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, crypto market cycles, or different charting patterns.
A focus of TokenFi technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of TokenFi 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...