Lightning Emotors Stock Technical Analysis
Lightning EMotors Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Lightning, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LightningLightning |
Lightning EMotors '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 Lightning EMotors' 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 Lightning EMotors.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in Lightning EMotors on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding Lightning eMotors or generate 0.0% return on investment in Lightning EMotors over 90 days.
Lightning EMotors 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 Lightning EMotors' 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 Lightning eMotors upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1218 | |||
| Maximum Drawdown | 9999.0 |
Lightning EMotors Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lightning EMotors' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lightning EMotors' standard deviation. In reality, there are many statistical measures that can use Lightning EMotors historical prices to predict the future Lightning EMotors' volatility.| Risk Adjusted Performance | 0.1083 | |||
| Jensen Alpha | 166.18 | |||
| Total Risk Alpha | 57.95 | |||
| Treynor Ratio | (0.50) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lightning EMotors' 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.
Lightning EMotors February 14, 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 | 0.1083 | |||
| Market Risk Adjusted Performance | (0.49) | |||
| Mean Deviation | 295.5 | |||
| Coefficient Of Variation | 820.78 | |||
| Standard Deviation | 1218.85 | |||
| Variance | 1485605.42 | |||
| Information Ratio | 0.1218 | |||
| Jensen Alpha | 166.18 | |||
| Total Risk Alpha | 57.95 | |||
| Treynor Ratio | (0.50) | |||
| Maximum Drawdown | 9999.0 | |||
| Skewness | 8.12 | |||
| Kurtosis | 65.99 |
Lightning eMotors Backtested Returns
Lightning EMotors is out of control given 3 months investment horizon. Lightning eMotors has Sharpe Ratio of 0.0996, which conveys that the firm had a 0.0996 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for thirteen different technical indicators, which can help you to evaluate if expected returns of 12.71% are justified by taking the suggested risk. Use Lightning eMotors Standard Deviation of 1218.85, mean deviation of 295.5, and Risk Adjusted Performance of 0.1083 to evaluate company specific risk that cannot be diversified away. Lightning EMotors holds a performance score of 7 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of -295.17, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Lightning EMotors are expected to decrease by larger amounts. On the other hand, during market turmoil, Lightning EMotors is expected to outperform it. Use Lightning eMotors variance and maximum drawdown , to analyze future returns on Lightning eMotors.
Auto-correlation | 0.07 |
Virtually no predictability
Lightning eMotors has virtually no predictability. Overlapping area represents the amount of predictability between Lightning EMotors time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th 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 Lightning eMotors price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Lightning EMotors price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Lightning EMotors 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.
Lightning eMotors 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 Lightning eMotors across different markets.
Lightning EMotors February 14, 2026 Technical Indicators
Most technical analysis of Lightning 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 Lightning from various momentum indicators to cycle indicators. When you analyze Lightning 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 | 0.1083 | |||
| Market Risk Adjusted Performance | (0.49) | |||
| Mean Deviation | 295.5 | |||
| Coefficient Of Variation | 820.78 | |||
| Standard Deviation | 1218.85 | |||
| Variance | 1485605.42 | |||
| Information Ratio | 0.1218 | |||
| Jensen Alpha | 166.18 | |||
| Total Risk Alpha | 57.95 | |||
| Treynor Ratio | (0.50) | |||
| Maximum Drawdown | 9999.0 | |||
| Skewness | 8.12 | |||
| Kurtosis | 65.99 |
Additional Tools for Lightning Pink Sheet Analysis
When running Lightning EMotors' price analysis, check to measure Lightning EMotors' 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 Lightning EMotors is operating at the current time. Most of Lightning EMotors' value examination focuses on studying past and present price action to predict the probability of Lightning EMotors' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lightning EMotors' price. Additionally, you may evaluate how the addition of Lightning EMotors to your portfolios can decrease your overall portfolio volatility.