Li Ft Power Stock Technical Analysis
| LIFFF Stock | 4.87 0.31 5.98% |
Li-FT Power Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Li-FT, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Li-FTLi-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.
| 11/29/2025 |
| 02/27/2026 |
If you would invest 0.00 in Li-FT Power on November 29, 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 90 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.
| Downside Deviation | 6.79 | |||
| Information Ratio | 0.1255 | |||
| Maximum Drawdown | 33.67 | |||
| Value At Risk | (11.35) | |||
| Potential Upside | 14.61 |
Li-FT Power Market Risk Indicators
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.| Risk Adjusted Performance | 0.1168 | |||
| Jensen Alpha | 0.6778 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.1413 | |||
| Treynor Ratio | 0.3051 |
Li-FT Power February 27, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1168 | |||
| Market Risk Adjusted Performance | 0.3151 | |||
| Mean Deviation | 5.76 | |||
| Semi Deviation | 5.85 | |||
| Downside Deviation | 6.79 | |||
| Coefficient Of Variation | 706.56 | |||
| Standard Deviation | 7.65 | |||
| Variance | 58.45 | |||
| Information Ratio | 0.1255 | |||
| Jensen Alpha | 0.6778 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.1413 | |||
| Treynor Ratio | 0.3051 | |||
| Maximum Drawdown | 33.67 | |||
| Value At Risk | (11.35) | |||
| Potential Upside | 14.61 | |||
| Downside Variance | 46.14 | |||
| Semi Variance | 34.19 | |||
| Expected Short fall | (6.58) | |||
| Skewness | 0.2889 | |||
| Kurtosis | 0.4166 |
Li FT Power Backtested Returns
Li-FT Power is very risky 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 thirty different technical indicators, which can help you to evaluate if expected returns of 1.11% are justified by taking the suggested risk. Use Li FT Power Standard Deviation of 7.65, mean deviation of 5.76, and Market Risk Adjusted Performance of 0.3151 to evaluate company specific risk that cannot be diversified away. Li-FT Power holds a performance score of 11 on a scale of zero to a hundred. The company owns a Beta (Systematic Risk) of 3.51, which conveys 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, Li-FT Power will likely underperform. 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 | 0.04 |
Virtually no predictability
Li FT Power has virtually no predictability. Overlapping area represents the amount of predictability between Li-FT Power time series from 29th of November 2025 to 13th of January 2026 and 13th of January 2026 to 27th of February 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 Li FT Power price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Li-FT Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.33 |
Li-FT Power technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Li FT Power Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Li FT Power across different markets.
Li-FT Power February 27, 2026 Technical Indicators
Most technical analysis of Li-FT 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 Li-FT from various momentum indicators to cycle indicators. When you analyze Li-FT charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1168 | |||
| Market Risk Adjusted Performance | 0.3151 | |||
| Mean Deviation | 5.76 | |||
| Semi Deviation | 5.85 | |||
| Downside Deviation | 6.79 | |||
| Coefficient Of Variation | 706.56 | |||
| Standard Deviation | 7.65 | |||
| Variance | 58.45 | |||
| Information Ratio | 0.1255 | |||
| Jensen Alpha | 0.6778 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.1413 | |||
| Treynor Ratio | 0.3051 | |||
| Maximum Drawdown | 33.67 | |||
| Value At Risk | (11.35) | |||
| Potential Upside | 14.61 | |||
| Downside Variance | 46.14 | |||
| Semi Variance | 34.19 | |||
| Expected Short fall | (6.58) | |||
| Skewness | 0.2889 | |||
| Kurtosis | 0.4166 |
Li-FT Power February 27, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Li-FT stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.02 | ||
| Daily Balance Of Power | (3.44) | ||
| Rate Of Daily Change | 0.94 | ||
| Day Median Price | 4.92 | ||
| Day Typical Price | 4.90 | ||
| Price Action Indicator | (0.20) | ||
| Market Facilitation Index | 0.09 |
Complementary Tools for Li-FT Pink Sheet analysis
When running Li-FT Power's price analysis, check to measure Li-FT Power's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Li-FT Power is operating at the current time. Most of Li-FT Power's value examination focuses on studying past and present price action to predict the probability of Li-FT Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Li-FT Power's price. Additionally, you may evaluate how the addition of Li-FT Power to your portfolios can decrease your overall portfolio volatility.
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