Lightspeed Commerce Stock Forecast - Daily Balance Of Power
LSPD Stock | CAD 24.27 0.16 0.65% |
Lightspeed Stock Forecast is based on your current time horizon. Although Lightspeed Commerce's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Lightspeed Commerce's systematic risk associated with finding meaningful patterns of Lightspeed Commerce fundamentals over time.
Lightspeed |
Previous Daily Balance Of Power | Daily Balance Of Power | Trend |
(0.08) | (0.12) |
Check Lightspeed Commerce Volatility | Backtest Lightspeed Commerce | Trend Details |
Lightspeed Commerce Trading Date Momentum
On October 04 2024 Lightspeed Commerce was traded for 21.86 at the closing time. The highest price during the trading period was 22.20 and the lowest recorded bid was listed for 21.73 . The volume for the day was 349.8 K. This history from October 4, 2024 contributed to the next trading day price boost. The trading delta at closing time to the next closing price was 0.28% . The trading delta at closing time to the current price is 1.10% . |
Balance of Power indicator was created by Igor Livshin to predict asset short term price movements or warning signals. If Balance of Power indicator is trended towards the high of its range it will signify that the bulls are in control. On the other hand when the BOP indicator is moving towards the lows of its range it signifies that the bears are in control. If the indicator move from a high positive range to a lower positive range it signifies that the buying pressure is decreasing. Conversely, if the indicator move from a low negative range to a higher negative range it signifies that the selling pressure is decreasing.
Compare Lightspeed Commerce to competition |
Other Forecasting Options for Lightspeed Commerce
For every potential investor in Lightspeed, whether a beginner or expert, Lightspeed Commerce's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Lightspeed Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Lightspeed. Basic forecasting techniques help filter out the noise by identifying Lightspeed Commerce's price trends.Lightspeed Commerce Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Lightspeed Commerce stock to make a market-neutral strategy. Peer analysis of Lightspeed Commerce could also be used in its relative valuation, which is a method of valuing Lightspeed Commerce by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Lightspeed Commerce Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Lightspeed Commerce's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Lightspeed Commerce's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Lightspeed Commerce Market Strength Events
Market strength indicators help investors to evaluate how Lightspeed Commerce stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Lightspeed Commerce shares will generate the highest return on investment. By undertsting and applying Lightspeed Commerce stock market strength indicators, traders can identify Lightspeed Commerce entry and exit signals to maximize returns.
Accumulation Distribution | 18484.65 | |||
Daily Balance Of Power | (0.17) | |||
Rate Of Daily Change | 0.99 | |||
Day Median Price | 24.72 | |||
Day Typical Price | 24.57 | |||
Price Action Indicator | (0.53) | |||
Period Momentum Indicator | (0.16) | |||
Relative Strength Index | 68.49 |
Lightspeed Commerce Risk Indicators
The analysis of Lightspeed Commerce's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Lightspeed Commerce's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lightspeed stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Mean Deviation | 1.68 | |||
Semi Deviation | 1.71 | |||
Standard Deviation | 2.69 | |||
Variance | 7.24 | |||
Downside Variance | 5.69 | |||
Semi Variance | 2.92 | |||
Expected Short fall | (1.82) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Pair Trading with Lightspeed Commerce
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Lightspeed Commerce position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Lightspeed Commerce will appreciate offsetting losses from the drop in the long position's value.Moving together with Lightspeed Stock
Moving against Lightspeed Stock
The ability to find closely correlated positions to Lightspeed Commerce could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Lightspeed Commerce when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Lightspeed Commerce - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Lightspeed Commerce to buy it.
The correlation of Lightspeed Commerce is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Lightspeed Commerce moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Lightspeed Commerce moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Lightspeed Commerce can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Lightspeed Commerce to cross-verify your projections. To learn how to invest in Lightspeed Stock, please use our How to Invest in Lightspeed Commerce guide.You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.