Lightspeed Commerce Stock Technical Analysis
| LSPD Stock | USD 12.89 0.20 1.53% |
As of the 26th of February, Lightspeed Commerce secures the Mean Deviation of 1.88, risk adjusted performance of (0.10), and Standard Deviation of 2.79. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Lightspeed Commerce, as well as the relationship between them. Please verify Lightspeed Commerce coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and skewness to decide if Lightspeed Commerce is priced some-what accurately, providing market reflects its recent price of 12.89 per share. Given that Lightspeed Commerce has information ratio of (0.16), we recommend you to check Lightspeed Commerce's last-minute market performance to make sure the company can sustain itself at a future point.
Lightspeed Commerce Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Lightspeed, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LightspeedLightspeed |
Lightspeed Commerce Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 18.75 | Buy | 22 | Odds |
Most Lightspeed analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Lightspeed stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Lightspeed Commerce, talking to its executives and customers, or listening to Lightspeed conference calls.
Lightspeed Commerce 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.
Lightspeed Commerce Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Lightspeed Commerce volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Lightspeed Commerce Trend Analysis
Use this graph to draw trend lines for Lightspeed Commerce. You can use it to identify possible trend reversals for Lightspeed Commerce 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 Lightspeed Commerce price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Lightspeed Commerce Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Lightspeed Commerce applied against its price change over selected period. The best fit line has a slop of 0.08 , which may suggest that Lightspeed Commerce market price will keep on failing further. It has 122 observation points and a regression sum of squares at 254.61, which is the sum of squared deviations for the predicted Lightspeed Commerce price change compared to its average price change.About Lightspeed Commerce 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 Lightspeed Commerce 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 Lightspeed Commerce based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Lightspeed Commerce price pattern first instead of the macroeconomic environment surrounding Lightspeed Commerce. By analyzing Lightspeed Commerce'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 Lightspeed Commerce'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 Lightspeed Commerce specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2022 | 2023 | 2024 | 2025 (projected) | Payables Turnover | 10.78 | 15.64 | 14.08 | 14.78 | Days Of Inventory On Hand | 11.76 | 11.49 | 10.34 | 6.27 |
Lightspeed Commerce February 26, 2025 Technical Indicators
Most technical analysis of Lightspeed 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 Lightspeed from various momentum indicators to cycle indicators. When you analyze Lightspeed 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 | (0.10) | |||
| Market Risk Adjusted Performance | (0.82) | |||
| Mean Deviation | 1.88 | |||
| Coefficient Of Variation | (656.79) | |||
| Standard Deviation | 2.79 | |||
| Variance | 7.79 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (0.44) | |||
| Total Risk Alpha | (0.45) | |||
| Treynor Ratio | (0.83) | |||
| Maximum Drawdown | 17.66 | |||
| Value At Risk | (4.16) | |||
| Potential Upside | 3.35 | |||
| Skewness | (1.77) | |||
| Kurtosis | 6.55 |
Lightspeed Commerce February 26, 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 Lightspeed 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 | 37,020 | ||
| Daily Balance Of Power | (0.59) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 12.97 | ||
| Day Typical Price | 12.94 | ||
| Price Action Indicator | (0.18) |
Complementary Tools for Lightspeed Stock analysis
When running Lightspeed Commerce's price analysis, check to measure Lightspeed Commerce'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 Lightspeed Commerce is operating at the current time. Most of Lightspeed Commerce's value examination focuses on studying past and present price action to predict the probability of Lightspeed Commerce's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lightspeed Commerce's price. Additionally, you may evaluate how the addition of Lightspeed Commerce to your portfolios can decrease your overall portfolio volatility.
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk |