Li Ft Power Stock Technical Analysis
| LIFT Stock | CAD 5.95 0.49 7.61% |
As of the 13th of February 2026, Li FT owns the Mean Deviation of 6.45, market risk adjusted performance of 1.07, and Standard Deviation of 8.66. 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 5.95 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 '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's 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 Li FT.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Li FT on November 15, 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 over 90 days. Li FT is related to or competes with Power Metals, American Lithium, Generation Mining, Kenorland Minerals, Black Mammoth, FPX Nickel, and CVW CleanTech. Corp. operates as a cannabis-focused technology and media company in Canada More
Li FT 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's 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 Li FT Power upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.69 | |||
| Information Ratio | 0.1644 | |||
| Maximum Drawdown | 42.5 | |||
| Value At Risk | (14.14) | |||
| Potential Upside | 16.49 |
Li FT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Li FT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Li FT's standard deviation. In reality, there are many statistical measures that can use Li FT historical prices to predict the future Li FT's volatility.| Risk Adjusted Performance | 0.1502 | |||
| Jensen Alpha | 1.39 | |||
| Total Risk Alpha | 0.7399 | |||
| Sortino Ratio | 0.1852 | |||
| Treynor Ratio | 1.06 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Li FT's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Li FT February 13, 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 | 0.1502 | |||
| Market Risk Adjusted Performance | 1.07 | |||
| Mean Deviation | 6.45 | |||
| Semi Deviation | 6.77 | |||
| Downside Deviation | 7.69 | |||
| Coefficient Of Variation | 575.54 | |||
| Standard Deviation | 8.66 | |||
| Variance | 74.92 | |||
| Information Ratio | 0.1644 | |||
| Jensen Alpha | 1.39 | |||
| Total Risk Alpha | 0.7399 | |||
| Sortino Ratio | 0.1852 | |||
| Treynor Ratio | 1.06 | |||
| Maximum Drawdown | 42.5 | |||
| Value At Risk | (14.14) | |||
| Potential Upside | 16.49 | |||
| Downside Variance | 59.07 | |||
| Semi Variance | 45.89 | |||
| Expected Short fall | (7.32) | |||
| Skewness | 0.3291 | |||
| Kurtosis | 0.7367 |
Li FT Power Backtested Returns
Li FT is very risky given 3 months investment horizon. Li FT Power retains Efficiency (Sharpe Ratio) of 0.15, which conveys that the firm had a 0.15 % return per unit of price deviation over the last 3 months. We were able to analyze and collect data for twenty-eight different technical indicators, which can help you to evaluate if expected returns of 1.33% are justified by taking the suggested risk. Use Li FT Power Mean Deviation of 6.45, market risk adjusted performance of 1.07, and Standard Deviation of 8.66 to evaluate company specific risk that cannot be diversified away. Li FT holds a performance score of 12 on a scale of zero to a hundred. The company owns a Beta (Systematic Risk) of 1.41, 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 will likely underperform. Use Li FT Power downside deviation, information ratio, and the relationship between the semi deviation and coefficient of variation , to analyze future returns on Li FT Power.
Auto-correlation | 0.54 |
Modest predictability
Li FT Power has modest predictability. Overlapping area represents the amount of predictability between Li FT time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th 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 0.54 indicates that about 54.0% of current Li FT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 1.75 |
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 one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Li FT Power across different markets.
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 | 2025 | 2026 (projected) | PB Ratio | 0.5 | 0.89 | 0.85 | Capex To Depreciation | 2.53 | 2.91 | 2.76 |
Li FT February 13, 2026 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 | 0.1502 | |||
| Market Risk Adjusted Performance | 1.07 | |||
| Mean Deviation | 6.45 | |||
| Semi Deviation | 6.77 | |||
| Downside Deviation | 7.69 | |||
| Coefficient Of Variation | 575.54 | |||
| Standard Deviation | 8.66 | |||
| Variance | 74.92 | |||
| Information Ratio | 0.1644 | |||
| Jensen Alpha | 1.39 | |||
| Total Risk Alpha | 0.7399 | |||
| Sortino Ratio | 0.1852 | |||
| Treynor Ratio | 1.06 | |||
| Maximum Drawdown | 42.5 | |||
| Value At Risk | (14.14) | |||
| Potential Upside | 16.49 | |||
| Downside Variance | 59.07 | |||
| Semi Variance | 45.89 | |||
| Expected Short fall | (7.32) | |||
| Skewness | 0.3291 | |||
| Kurtosis | 0.7367 |
Li FT February 13, 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 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 | 3,192 | ||
| Daily Balance Of Power | (0.72) | ||
| Rate Of Daily Change | 0.92 | ||
| Day Median Price | 6.22 | ||
| Day Typical Price | 6.13 | ||
| Price Action Indicator | (0.51) |
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.