Li-FT Power's market value is the price at which a share of Li-FT Power trades on a public exchange. It measures the collective expectations of Li FT Power investors about its performance. Li-FT Power is trading at 3.21 as of the 25th of December 2025. This is a 0.63 percent increase since the beginning of the trading day. The stock's lowest day price was 3.21. With this module, you can estimate the performance of a buy and hold strategy of Li FT Power and determine expected loss or profit from investing in Li-FT Power over a given investment horizon. Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in price.
Symbol
Li-FT
Li-FT Power '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 Li-FT Power's pink sheet 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 Li-FT Power.
0.00
06/28/2025
No Change 0.00
0.0
In 5 months and 30 days
12/25/2025
0.00
If you would invest 0.00 in Li-FT Power on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Li FT Power or generate 0.0% return on investment in Li-FT Power over 180 days.
Li-FT Power 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 Li-FT Power's pink sheet 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 Li FT Power upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Li-FT Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Li-FT Power's standard deviation. In reality, there are many statistical measures that can use Li-FT Power historical prices to predict the future Li-FT Power's volatility.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Li-FT Power. Your research has to be compared to or analyzed against Li-FT Power's peers to derive any actionable benefits. When done correctly, Li-FT Power's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Li FT Power.
Li FT Power Backtested Returns
Li-FT Power is dangerous given 3 months investment horizon. Li FT Power retains Efficiency (Sharpe Ratio) of 0.14, which conveys that the firm had a 0.14 % return per unit of price deviation over the last 3 months. We were able to analyze and collect data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.0% are justified by taking the suggested risk. Use Li FT Power Mean Deviation of 5.15, standard deviation of 7.23, and Market Risk Adjusted Performance of 2.14 to evaluate company specific risk that cannot be diversified away. Li-FT Power holds a performance score of 10 on a scale of zero to a hundred. The company owns a Beta (Systematic Risk) of 0.46, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Li-FT Power's returns are expected to increase less than the market. However, during the bear market, the loss of holding Li-FT Power is expected to be smaller as well. Use Li FT Power treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to analyze future returns on Li FT Power.
Auto-correlation
-0.3
Weak reverse predictability
Li FT Power has weak reverse predictability. Overlapping area represents the amount of predictability between Li-FT Power time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th of December 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 Li FT Power price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current Li-FT Power price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.3
Spearman Rank Test
0.1
Residual Average
0.0
Price Variance
0.26
Li FT Power lagged returns against current returns
Autocorrelation, which is Li-FT Power pink sheet'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 Li-FT Power's pink sheet expected returns. We can calculate the autocorrelation of Li-FT Power returns to help us make a trade decision. For example, suppose you find that Li-FT Power has exhibited high autocorrelation historically, and you observe that the pink sheet 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
Li-FT Power 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 Li-FT Power pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Li-FT Power pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Li-FT Power pink sheet over time.
Current vs Lagged Prices
Timeline
Li-FT Power Lagged Returns
When evaluating Li-FT Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Li-FT Power pink sheet have on its future price. Li-FT Power 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, Li-FT Power autocorrelation shows the relationship between Li-FT Power pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Li FT Power.