Li Ft Power Stock Technical Analysis
| LIFT Stock | CAD 4.32 0.08 1.82% |
As of the 28th of December, Li FT owns the Market Risk Adjusted Performance of (2.60), mean deviation of 5.37, and Standard Deviation of 7.17. In respect to fundamental indicators, the technical analysis model lets you check possible technical drivers of Li FT Power, as well as the relationship between them. Please verify Li FT Power mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation to decide if Li FT Power is priced more or less accurately, providing market reflects its prevailing price of 4.32 per share.
Li FT Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as LIFT, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LIFTLIFT |
Li FT 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.
Li FT Power Technical Analysis
The output start index for this execution was sixty with a total number of output elements of one. The Normalized Average True Range is used to analyze tradable apportunities for Li FT Power across different markets.
Li FT Power Trend Analysis
Use this graph to draw trend lines for Li FT Power. You can use it to identify possible trend reversals for Li FT as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Li FT price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Li FT Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Li FT Power applied against its price change over selected period. The best fit line has a slop of 0.03 , which means Li FT Power will continue generating value for investors. It has 122 observation points and a regression sum of squares at 36.02, which is the sum of squared deviations for the predicted Li FT price change compared to its average price change.About Li FT Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Li FT Power on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Li FT Power based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Li FT Power price pattern first instead of the macroeconomic environment surrounding Li FT Power. By analyzing Li FT's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Li FT's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Li FT specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 (projected) | PB Ratio | 0.5 | 0.57 | 0.54 | Capex To Depreciation | 2.53 | 2.91 | 2.76 |
Li FT December 28, 2025 Technical Indicators
Most technical analysis of LIFT 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 LIFT from various momentum indicators to cycle indicators. When you analyze LIFT 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 | 0.134 | |||
| Market Risk Adjusted Performance | (2.60) | |||
| Mean Deviation | 5.37 | |||
| Semi Deviation | 4.94 | |||
| Downside Deviation | 5.38 | |||
| Coefficient Of Variation | 561.26 | |||
| Standard Deviation | 7.17 | |||
| Variance | 51.44 | |||
| Information Ratio | 0.1663 | |||
| Jensen Alpha | 1.3 | |||
| Total Risk Alpha | 0.4988 | |||
| Sortino Ratio | 0.2218 | |||
| Treynor Ratio | (2.61) | |||
| Maximum Drawdown | 39.14 | |||
| Value At Risk | (7.01) | |||
| Potential Upside | 14.1 | |||
| Downside Variance | 28.92 | |||
| Semi Variance | 24.42 | |||
| Expected Short fall | (6.95) | |||
| Skewness | 0.799 | |||
| Kurtosis | 1.78 |
Li FT December 28, 2025 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 LIFT 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 | 0.04 | ||
| Daily Balance Of Power | (0.44) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 4.40 | ||
| Day Typical Price | 4.37 | ||
| Price Action Indicator | (0.12) | ||
| Market Facilitation Index | 0.18 |
Additional Tools for LIFT Stock Analysis
When running Li FT's price analysis, check to measure Li FT'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 is operating at the current time. Most of Li FT's value examination focuses on studying past and present price action to predict the probability of Li FT'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's price. Additionally, you may evaluate how the addition of Li FT to your portfolios can decrease your overall portfolio volatility.